Keywords (sales, engineer)

Location

Were hiring a Data Scientist in Salt Lake City who is passionate about using technology to make the world a better place. Whats it like to work at Radiant? You will be our point person for user retention, think A/B tests, data analysis, ML, NLP. Youll be part of our engineering team, but collaborate deeply with Design, Product, and Marketing to reliably retain users on our Radiant platform products.

Our teams are collaborative we sit together, brainstorm together, and build together because we believe thats the only way to make superior products. Were committed to innovation so much so, in fact, that we hold quarterly hack-a-thons to let individuals and teams build projects and hit for the fences with radical new ideas. We believe in spreading goodness so much that we match your charitable contributions to non-profit organizations. If you are a tenacious data scientist who enjoys a rapidly growing environment, has a passion for finding insights in data, and thrives even in uncertain conditions, consider applying.

What We Do:

Were building innovative mobile and web applications.Our team has a strong preference for simple, elegant solutions to customer needs.We build applications that people love, and make a difference in their everyday lives! What We Need You To Do:

Work with Product, Marketing, and Design to define and implement A/B and multivariate tests.Design and implement growth and retention experiments, from generating ideas to analysis of experiment results.Utilize statistical analysis to drive user retention.Ensure tests get up and running and be willing and able to help product and marketing teams interpret results and present them to management without bias. What we look for:

Innate interest in learning about customer behavior, using both quantitative and qualitative methods.Great with data and analysis tools.Create and implement algorithms in relevant statistical inference, graph, and network analysis, natural language processing with open source tools and libraries.Design and support efficient storage and retrieval of Big Data.Develop highly accurate machine learning models to help improve in-product experiences and drive business growth.Excellent Python, R, or Scala skills.Able to think strategically and tackle open-ended problems.Willing to learn what you dont already know. Bonus points for:

Radiant is an experience company focused on developing innovative products and supporting content that make a better world for individuals, families and communities. Were constantly prototyping, launching and tuning to truly solve customer problems. We are dedicated to the fight against iffy, shoddy software. We make better, more usable tools for making the world a better place. A better-connected world and more effective ways for everyone, everywhere to communicate, make discoveries, share knowledge, be inspired, and do big things. We accomplish all this by giving smart, creative, passionate people opportunities to create awesome.

Work with Product, Marketing, and Design to define and implement A/B and multivariate tests.Design and implement growth and retention experiments, from generating ideas to analysis of experiment results.Utilize statistical analysis to drive user retention.Ensure tests get up and running and be willing and able to help product and marketing teams interpret results and present them to management without bias.

Requirements:

Innate interest in learning about customer behavior, using both quantitative and qualitative methods.Great with data and analysis tools.Create and implement algorithms in relevant statistical inference, graph, and network analysis, natural language processing with open source tools and libraries.Design and support efficient storage and retrieval of Big Data.Develop highly accurate machine learning models to help improve in-product experiences and drive business growth.Excellent Python, R, or Scala skills.Able to think strategically and tackle open-ended problems.Willing to learn wha

Contact:

For more information, or to apply now, you must go to the website below. Please DO NOT email your resume to us as we only accept applications through our website.